pytorch / pytorch/pytorch.github.io
Information on the page for graphic cards with cuda capability < 3.0
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- Dominant language
- HTML
- Stars
- 285
- Forks
- 317
- PR merge metrics
- No merged PRs in 30d
Description
Please provide information to people with older graphic cards that pytorch (with CUDA) won't work for them.
I spent literally hours to install everything until I had the glorious torch.cuda.is_available() => True message popping up in my console window.
but then I realized that I can't use it at all because with my old graphics card (GeForce GM630m => cuda capability 2.1), I always get the cuda runtime error (8) : invalid device function error.
Searching around in the forum I found that these cards are simply not supported and wouldn't be faster than the cpu version any ways.
It would be very helpful if that would be visible on the top of the Get Started page where one can select the pytorch preferences for the install command.
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start at the Get Started page and inspect where the PyTorch installation preferences and command are presented. Add visible information that CUDA-capability-below-3.0 graphics cards are unsupported and that CPU use may be preferable; the page should set this expectation before installation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- html, pytorch
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 38/100